AI News, Getting your first job in data science

Getting your first job in data science

A few weeks ago, I came across a great post from David Robinson about his first year as a data scientist at Stack Overflow.

In a section of the post, David advised graduate students who wish to get into data science to create public artifacts.

David landed his job partly because of some public artifacts he created: blog posts and answers to questions on StackExchange.

Many of the great things that happened to me in the last few years are the result of making my work public: meeting new people, landing a job at PasswordBox, creating and selling a side project.

At that age, I was temporarily living in Chicago to attend the Starter League, a three months’ intensive coding boot camp.

As part of the program, we had a final project where we had to form a small team and ship a web project of our choice.

The project was solving a pain Enrique was experiencing managing the Chicago History Museum Tumblr account: tracking the number of followers over time.

Little did I know at the time, but the project would be featured in Hacker News and attract the likes of many interesting people, including the Tumblr engineering team.

It was a simple Rails web application that queried data from multiple API’s and reported back the data in a sensible way to the end-user.

However, it demonstrated that I had a few very important skills in data science: I can ship, I am passionate about data and I have some tech skills to make things happen.

Every week, there is a new skill you can pick up, a new paper on machine learning, a new technology that you could learn.

As you progress in your career, making your work public will help you create new opportunities, meet new people and get external feedback on your work.

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